Occluded face recognition based on Gabor wavelets
作者： B. Kepenekci , F. Boray Tek , G. Bozdagi Akar
DOI: 10.1109/ICIP.2002.1038017
关键词:
摘要: A new feature based approach to frontal face recognition with Gabor wavelets is presented. The points are automatically extracted using the local characteristics of each individual in order decrease effect occluded features. There no training as neural network approaches, thus a single for enough reference. Experimental results show that proposed method achieves ratio over %95.
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